TheSoz: A SKOS representation of the thesaurus for the social sciences

Zapilko, Benjamin; Schaible, Johann; Mayr, Philipp; Mathiak, Brigitte

doi:10.3233/sw-2012-0081

Cited by 38 publications

(23 citation statements)

References 3 publications

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“…For instance, as the thesaurus for indexing local archives provides links to RAMEAU, it would be possible to link an archival resource and a library book through these two thesauri and the links they share (Sibille-de Grimoüard 2014). A similar example of converting a thesaurus into SKOS in the Social Sciences was reported by Zapilko et al (2013).…”

Section: Dp-2 Reaching Out To the Datasets That May Have Or Have Notmentioning

confidence: 57%

Knowledge Organization Systems (KOS) in the Semantic Web: a multi-dimensional review

Zeng

Mayr

2018

Int J Digit Libr

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Since the Simple Knowledge Organization System (SKOS) specification and its SKOS eXtension for Labels (SKOS-XL) became formal W3C recommendations in 2009 a significant number of conventional knowledge organization systems (KOS) (including thesauri, classification schemes, name authorities, and lists of codes and terms, produced before the arrival of the ontology-wave) have made their journeys to join the Semantic Web mainstream. This paper uses "LOD KOS" as an umbrella term to refer to all of the value vocabularies and lightweight ontologies within the Semantic Web framework. The paper provides an overview of what the LOD KOS movement has brought to various communities and users. These are not limited to the colonies of the value vocabulary constructors and providers, nor the catalogers and indexers who have a long history of applying the vocabularies to their products. The LOD dataset producers and LOD service providers, the information architects and interface designers, and researchers in sciences and humanities, are also direct beneficiaries of LOD KOS. The paper examines a set of the collected cases (experimental or in real applications) and aims to find the usages of LOD KOS in order to share the practices and ideas among communities and users. Through the viewpoints of a number of different user groups, the functions of LOD KOS are examined from multiple dimensions. This paper focuses on the LOD dataset producers, vocabulary producers, and researchers (as end-users of KOS).

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Section: Dp-2 Reaching Out To the Datasets That May Have Or Have Notmentioning

confidence: 57%

Knowledge Organization Systems (KOS) in the Semantic Web: a multi-dimensional review

Zeng

Mayr

2018

Int J Digit Libr

Self Cite

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“…For our evaluation, we use documents from the Social Science Literature Information System (SOLIS). The documents are manually indexed with the SKOS Thesaurus for the Social Sciences (TheSoz) [10] and manually classified with the Classification for the Social Sciences (CSS) by human domain experts. For our experiments, we used all SOLIS documents which were published in the years 2008 to 2013, resulting in a corpus of about 60.000 documents.…”

Section: Discussionmentioning

confidence: 99%

The Polylingual Labeled Topic Model

Posch

Bleier

Schaer

et al. 2015

KI 2015: Advances in Artificial Intelligence

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Abstract. In this paper, we present the Polylingual Labeled Topic Model, a model which combines the characteristics of the existing Polylingual Topic Model and Labeled LDA. The model accounts for multiple languages with separate topic distributions for each language while restricting the permitted topics of a document to a set of predefined labels. We explore the properties of the model in a two-language setting on a dataset from the social science domain. Our experiments show that our model outperforms LDA and Labeled LDA in terms of their held-out perplexity and that it produces semantically coherent topics which are well interpretable by human subjects.

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“…Since thesauri are not developed automatically but by creating relations manually between terms, this is an intellectual approach. The first approach involves two different thesauri: (1) the Open Thesaurus (OT), a general natural language and community-based thesaurus, (2) and the Thesaurus for the Social Sciences (TSS), a domain-specific thesaurus developed by a small editorial group of domain experts [17]. The Open Thesaurus contains German synonyms, hypernyms, hyponyms and associations.…”

Section: Thesaurus-based Expansionmentioning

confidence: 99%

Query Expansion for Survey Question Retrieval in the Social Sciences

Dulisch

Kempf

Schaer

2015

Research and Advanced Technology for Digital Libraries

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In recent years, the importance of research data and the need to archive and to share it in the scientific community have increased enormously. This introduces a whole new set of challenges for digital libraries. In the social sciences typical research data sets consist of surveys and questionnaires. In this paper we focus on the use case of social science survey question reuse and on mechanisms to support users in the query formulation for data sets. We describe and evaluate thesaurus- and co-occurrence-based approaches for query expansion to improve retrieval quality in digital libraries and research data archives. The challenge here is to translate the information need and the underlying sociological phenomena into proper queries. As we can show retrieval quality can be improved by adding related terms to the queries. In a direct comparison automatically expanded queries using extracted co-occurring terms can provide better results than queries manually reformulated by a domain expert and better results than a keyword-based BM25 baseline.Comment: to appear in Proceedings of 19th International Conference on Theory and Practice of Digital Libraries 2015 (TPDL 2015

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TheSoz: A SKOS representation of the thesaurus for the social sciences

Cited by 38 publications

References 3 publications

Knowledge Organization Systems (KOS) in the Semantic Web: a multi-dimensional review

Knowledge Organization Systems (KOS) in the Semantic Web: a multi-dimensional review

The Polylingual Labeled Topic Model

Query Expansion for Survey Question Retrieval in the Social Sciences

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